core: remove duplicates

include/eigenpy/details.hpp

@@ -54,15 +54,6 @@ namespace boost { namespace python { namespace detail {
 
 namespace eigenpy
 {
-  template <typename SCALAR>  struct NumpyEquivalentType {};
-  template <> struct NumpyEquivalentType<float>   { enum { type_code = NPY_FLOAT  };};
-  template <> struct NumpyEquivalentType< std::complex<float> >   { enum { type_code = NPY_CFLOAT  };};
-  template <> struct NumpyEquivalentType<double>  { enum { type_code = NPY_DOUBLE };};
-  template <> struct NumpyEquivalentType< std::complex<double> >  { enum { type_code = NPY_CDOUBLE };};
-  template <> struct NumpyEquivalentType<long double>  { enum { type_code = NPY_LONGDOUBLE };};
-  template <> struct NumpyEquivalentType< std::complex<long double> >  { enum { type_code = NPY_CLONGDOUBLE };};
-  template <> struct NumpyEquivalentType<int>     { enum { type_code = NPY_INT    };};
-  template <> struct NumpyEquivalentType<long>    { enum { type_code = NPY_LONG    };};
 
   template <typename SCALAR1, typename SCALAR2>
   struct FromTypeToType : public boost::false_type {};
@@ -307,9 +298,11 @@ namespace eigenpy
 
       PyArrayObject* pyArray;
       // Allocate Python memory
+          std::cout << "basic convert" << std::endl;
       if( ( ((!(C == 1) != !(R == 1)) && !MatType::IsVectorAtCompileTime) || MatType::IsVectorAtCompileTime)
          && NumpyType::getType() == ARRAY_TYPE) // Handle array with a single dimension
       {
+          std::cout << "mat1\n" << mat << std::endl;
         npy_intp shape[1] = { C == 1 ? R : C };
         pyArray = (PyArrayObject*) PyArray_SimpleNew(1, shape,
                                                      NumpyEquivalentType<Scalar>::type_code);